Related Experiment Video
Updated: Sep 19, 2025

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
Published on: September 30, 2020
The impacts of multimorbidity trajectories and patterns on functional limitations over time in middle-aged and older
1Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, PR China.
Background:
Although multimorbidity is a risk factor for functional limitations, few studies have simultaneously examined the impacts of multimorbidity trajectories and patterns on long-term functional limitations change. We aim to identify multimorbidity trajectories and patterns and explore their relationships with functional limitations in middle-aged and older adults.
Methods:
This study included 6302 participants aged ≥50 from the English Longitudinal Study of Ageing survey 2008-2021. Group-based trajectory model was conducted to identify multimorbidity trajectories from 22 chronic conditions (2008-2014). Exploratory factor analysis was employed to assess multimorbidity pattern using data collected in 2014. The impacts of multimorbidity trajectories and patterns on the change in functional limitations across the subsequent 7 years (2014-2021) were examined through generalized estimating equation models.
Results:
This study identified four multimorbidity trajectories: low-maintaining, new-increasing, moderate-increasing, and high-maintaining trajectory and four multimorbidity patterns: multi-system, cardiovascular, vision impairment, and metabolic-skeletal patterns. Across all multimorbidity trajectories and patterns, functional limitations showed sustained increases over time, with levels consistently higher than reference groups (all P < 0.001). There were significant interactions of multimorbidity trajectories and patterns with time, particularly for high-maintaining trajectory (T6:β = -0.218, P = 0.007; T7:β = -0.271, P = 0.004), multi-system pattern (T6:β = -0.323, P = 0.001; T7:β = -0.593, P < 0.001), and metabolic-skeletal pattern (T6:β = -0.313, P < 0.001; T7:β = -0.481, P < 0.001), indicating the high-maintaining multimorbidity trajectory, multi-system and metabolic skeletal patterns accelerated the progression of functional limitations.
Conclusions:
Implement targeted preventive interventions and personalized health management strategies for high-risk multimorbidity patients to delay disability onset.
Related Concept Videos
Cognitive Development During Adulthood
The Effect of Aging on Tissues
Aging
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Longitudinal Research
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...

